A benchmark across 6,900 outputs revealed that reasoning modes substantially increased clinical text extraction accuracy while noticeably lengthening inference latency.
A paired factorial evaluation demonstrates that parameter-efficient fine-tuning drives major quality gains in automated intensive care discharge summaries while style-based ...
A benchmarking study evaluating a 27-billion-parameter language model and five fine-tuned derivatives demonstrated that aggregate accuracy metrics conceal substantial item-level ...
A controlled adversarial stress test reveals that asymmetric agentic verification does not outperform simpler retrieval-augmented generation at detecting hallucinated clinical ...
